<?xml version="1.0" encoding="UTF-8"?>

<rdf:RDF
   xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
   xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#"
   xmlns="http://purl.org/rss/1.0/"
   xmlns:dc="http://purl.org/dc/elements/1.1/"
   xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/"
   xmlns:dcterms="http://purl.org/dc/terms/"

>
<channel rdf:about="http://www.citeulike.org/about">
<pubDate>Thu, 07 Aug 2008 21:33:19 BST</pubDate>


	<title>CiteULike: AbnerCYH's library [716 articles]</title>
	<description>CiteULike: AbnerCYH's library [716 articles]</description>


	<link>http://www.citeulike.org/user/AbnerCYH/article/411634</link>
	<dc:publisher>CiteULike.org</dc:publisher>
	<dc:language>en-gb</dc:language>
	<dc:rights>Copyright &#169; 2004-2008 citeulike.org</dc:rights>
	<items>
    <rdf:Seq>
        <rdf:li rdf:resource="http://www.citeulike.org/user/AbnerCYH/article/411634"/>

	</rdf:Seq>
	</items>
	</channel>


<item rdf:about="http://www.citeulike.org/user/AbnerCYH/article/411634">
    <title>The boosting approach to machine learning: An overview</title>
    <link>http://www.citeulike.org/user/AbnerCYH/article/411634</link>
    <description>&lt;i&gt;(2001)&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Boosting is a general method for improving the accuracy of any given learning algorithm. Focusing primarily on the AdaBoost algorithm, this chapter overviews some of the recent work on boosting including analyses of AdaBoost's training error and generalization error; boosting's connection to game theory and linear programming; the relationship between boosting and logistic regression; extensions of AdaBoost for multiclass classification problems; methods of incorporating human knowledge...</description>
    <dc:title>The boosting approach to machine learning: An overview</dc:title>

    <dc:creator>R Schapire</dc:creator>
    <dc:source>(2001)</dc:source>
    <dc:date>2005-11-30T08:57:07-00:00</dc:date>
    <prism:publicationYear>2001</prism:publicationYear>
    <prism:category>algorithms</prism:category>
    <prism:category>game</prism:category>
    <prism:category>kdd</prism:category>
    <prism:category>stochastic</prism:category>
</item>



</rdf:RDF>

